scholarly journals A Review of Human Motion Monitoring Methods using Wearable Sensors

2018 ◽  
Vol 14 (10) ◽  
pp. 168 ◽  
Author(s):  
Yaqing Tu ◽  
Linfeng Liu ◽  
Ming Li ◽  
Peng Chen ◽  
Yuwen Mao
Keyword(s):  
Wearable Sensors ◽  
Wearable Devices ◽  
Human Motion ◽  
Font Size ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Existing Problems ◽  
Acceleration Sensors ◽  
Human Motion Monitoring ◽  
Smart Wearable

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">Human motion monitoring with wearable devices has become a hot research topic in the field of smart wearable devices. In this paper, the principles and historical development of human motion monitoring with wearable devices are analyzed and reviewed, respectively. Specifically, the current situation of human motion monitoring with wearable devices based on acceleration sensors is analyzed first. Then the existing problems and the future developing trends of research on human motion monitoring methods are summarized. Finally, the prospects of the research on of human motion monitoring method with wearable devices are discussed.</span>

Real time chemical and mechanical human motion monitoring with aerogel-based wearable sensors

Lab on a Chip ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 2689-2695
Author(s):  
Onur Ergen ◽  
Ecem Celik ◽  
Ahmet Hamdi Unal ◽  
Mert Yusuf Erdolu ◽  
Feriha Eylem Sarac ◽  
...  
Keyword(s):  
Human Health ◽  
Real Time ◽  
Wearable Sensors ◽  
Human Motion ◽  
Human Motion Monitoring

Wearable bioelectronic systems are one of the most important tools for human health and motion monitoring.

A Stretchable Strain Sensor Based on CNTs/GR for Human Motion Monitoring

NANO ◽  
2022 ◽  
Author(s):  
Delin Chen ◽  
Hongmei Zhao ◽  
Weidong Yang ◽  
Dawei Wang ◽  
Xiaowei Huang ◽  
...  
Keyword(s):  
Strain Sensor ◽  
Human Movement ◽  
Human Motion ◽  
Strain Sensors ◽  
Quick Response ◽  
Practical Applications ◽  
Sensing Range ◽  
Human Monitoring ◽  
Human Motion Monitoring ◽  
Smart Wearable

Flexible/stretchable strain sensors have attracted much attention due to their advantages for human-computer interaction, smart wearable and human monitoring. However, there are still great challenges on gaining super durability, quick response, and wide sensing range. This paper provides a simple process to obtain a sensor which is based on graphene (GR)/carbon nanotubes (CNTs) and Ecoflex hybrid, which demonstrates superb endurance (over 1000 cycles at 100% strain), remarkable sensitivity (strain over 125% sensitivity up to 20) and wide sensing range (175%). All results indicate that it is capable for human movement monitoring, such as finger and knee bending and pulse beat. Most importantly, it can be used as a warning function for the night cyclist’s ride. This research provides the feasibility of using this sensor for practical applications.

scholarly journals Adaptive Extreme Edge Computing for Wearable Devices

2021 ◽  
Vol 15 ◽  
Author(s):  
Erika Covi ◽  
Elisa Donati ◽  
Xiangpeng Liang ◽  
David Kappel ◽  
Hadi Heidari ◽  
...  
Keyword(s):  
Power Consumption ◽  
Wearable Sensors ◽  
Wearable Devices ◽  
Distributed Networks ◽  
Edge Computing ◽  
Neuromorphic Computing ◽  
Oxide Semiconductors ◽  
Holistic View ◽  
Extreme Edge ◽  
Smart Wearable

Wearable devices are a fast-growing technology with impact on personal healthcare for both society and economy. Due to the widespread of sensors in pervasive and distributed networks, power consumption, processing speed, and system adaptation are vital in future smart wearable devices. The visioning and forecasting of how to bring computation to the edge in smart sensors have already begun, with an aspiration to provide adaptive extreme edge computing. Here, we provide a holistic view of hardware and theoretical solutions toward smart wearable devices that can provide guidance to research in this pervasive computing era. We propose various solutions for biologically plausible models for continual learning in neuromorphic computing technologies for wearable sensors. To envision this concept, we provide a systematic outline in which prospective low power and low latency scenarios of wearable sensors in neuromorphic platforms are expected. We successively describe vital potential landscapes of neuromorphic processors exploiting complementary metal-oxide semiconductors (CMOS) and emerging memory technologies (e.g., memristive devices). Furthermore, we evaluate the requirements for edge computing within wearable devices in terms of footprint, power consumption, latency, and data size. We additionally investigate the challenges beyond neuromorphic computing hardware, algorithms and devices that could impede enhancement of adaptive edge computing in smart wearable devices.

scholarly journals Understanding Smart Wearable Sensors Technology: Impact on Human Health and Fitness

2020 ◽  
Vol 24 (7) ◽  
pp. 1261-1265
Author(s):  
E.P. Idoga ◽  
A.I. Adamu
Keyword(s):  
Human Health ◽  
Wearable Sensors ◽  
Wearable Devices ◽  
Vital Role ◽  
Healthcare Sector ◽  
Web Based ◽  
Healthcare Needs ◽  
Personal Motivation ◽  
Health And Fitness ◽  
Smart Wearable

In the field of health care management, smart wearable devices and its supporting technologies have tremendously made a name all around the globe. Smart watches and other sensor trackers are practically being used by various people and its usage has shown to be accompanied with lots  of benefits. This technology was envisaged to play a vital role in the healthcare needs of people; especially with applications in the healthcare sector. The objective of this study, therefore, is to evaluate the technological impact of wearable sensors in human health and fitness (HHF). A web based survey was used for data collection for the period of one month. Emails were sent to registered members of a particular gym who uses any of the smart wearable sensors in keeping fit. The study findings indicate that among the smart wearable devices examined, smart wristwatches (45.6%) appears to be the most commonly used wearable sensor device followed by smart wrist bands (34.7%), smart textiles (10.7%) and smart rings (9.1%). This signifies that a large number of people can effortlessly use SWSs and devices and are optimistic about its support in their daily  healthcare/fitness needs. Users are positive on the technological prospects of SWSs and devices; although there is a gap between personal  motivation to use wearable devices and trust in the confidentiality and privacy of data generated. Keywords: Devices, Health, Fitness, Wearable, Sensors

Research on Human Motion Monitoring Method Based on Multi-Joint Constraint Filter Model

2021 ◽  
pp. 1-1
Author(s):  
Hai Yang ◽  
Suqi Liu ◽  
Tao Luo ◽  
Haibo Liang ◽  
Jialing Zou ◽  
...  
Keyword(s):  
Human Motion ◽  
Monitoring Method ◽  
Filter Model ◽  
Human Motion Monitoring

A Monitoring Method for Transmission Tower Vibration Based on Fiber Grating Sensor Technology

2014 ◽  
Vol 496-500 ◽  
pp. 2375-2378
Author(s):  
Xue Zhou Zheng ◽  
Fan Yong Meng ◽  
Xiao Huan Shen ◽  
Jun Wei Dong ◽  
Dong Fang Ma
Keyword(s):  
Vibration Monitoring ◽  
Sensor Technology ◽  
Fiber Grating ◽  
Transmission Tower ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Existing Problems ◽  
Strain Monitoring ◽  
Fiber Grating Sensor ◽  
Tower Vibration

Compare with several transmission tower vibration monitoring methods, analyze the advantages and existing problems, present a monitoring method for tower vibration based on fiber grating sensor technology, and introduce the fiber grating sensor about its working principle and absolute preponderance in application, design a strain monitoring system which satisfied for the requirement of tower safety pre-alarm.

scholarly journals Smart Wearable Sensors Based on Triboelectric Nanogenerator for Personal Healthcare Monitoring

Micromachines ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 352
Author(s):  
Ruonan Li ◽  
Xuelian Wei ◽  
Jiahui Xu ◽  
Junhuan Chen ◽  
Bin Li ◽  
...  
Keyword(s):  
Medical Care ◽  
Health Monitoring ◽  
Wearable Sensors ◽  
The Elderly ◽  
The Body ◽  
Assessment System ◽  
Triboelectric Nanogenerator ◽  
Personal Healthcare ◽  
Healthcare Monitoring ◽  
Smart Wearable

Accurate monitoring of motion and sleep states is critical for human health assessment, especially for a healthy life, early diagnosis of diseases, and medical care. In this work, a smart wearable sensor (SWS) based on a dual-channel triboelectric nanogenerator was presented for a real-time health monitoring system. The SWS can be worn on wrists, ankles, shoes, or other parts of the body and cloth, converting mechanical triggers into electrical output. By analyzing these signals, the SWS can precisely and constantly monitor and distinguish various motion states, including stepping, walking, running, and jumping. Based on the SWS, a fall-down alarm system and a sleep quality assessment system were constructed to provide personal healthcare monitoring and alert family members or doctors via communication devices. It is important for the healthy growth of the young and special patient groups, as well as for the health monitoring and medical care of the elderly and recovered patients. This work aimed to broaden the paths for remote biological movement status analysis and provide diversified perspectives for true-time and long-term health monitoring, simultaneously.

Enabling Batteryless Wearable Devices by Transferring Power Through The Human Body

2021 ◽  
Vol 24 (3) ◽  
pp. 30-34
Author(s):  
Rishi Shukla ◽  
Neev Kiran ◽  
Rui Wang ◽  
Jeremy Gummeson ◽  
Sunghoon Ivan Lee
Keyword(s):  
Energy Source ◽  
Low Power ◽  
Human Body ◽  
Wearable Sensors ◽  
Primary Energy ◽  
Wearable Devices ◽  
Ultra Low Power ◽  
The Past ◽  
Key Barrier

Over the past few decades, we have witnessed tremendous advancements in semiconductor and MEMS technologies, leading to the proliferation of ultra-miniaturized and ultra-low-power (in micro-watt ranges) wearable devices for wellness and healthcare [1]. Most of these wearable sensors are battery powered for their operation. The use of an on-device battery as the primary energy source poses a number of challenges that serve as the key barrier to the development of novel wearable applications and the widespread use of numerous, seamless wearable sensors [5].

scholarly journals Cost-efficiency assessments of marine monitoring methods lack rigor—a systematic mapping of literature and an end-user view on optimal cost-efficiency analysis

2021 ◽  
Vol 193 (7) ◽  
Author(s):  
Heini Hyvärinen ◽  
Annaliina Skyttä ◽  
Susanna Jernberg ◽  
Kristian Meissner ◽  
Harri Kuosa ◽  
...  
Keyword(s):  
Comparative Studies ◽  
Cost Efficiency ◽  
Cost Benefit ◽  
Marine Ecosystems ◽  
Actual Cost ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Marine Monitoring ◽  
The Status ◽  
The Cost

AbstractGlobal deterioration of marine ecosystems, together with increasing pressure to use them, has created a demand for new, more efficient and cost-efficient monitoring tools that enable assessing changes in the status of marine ecosystems. However, demonstrating the cost-efficiency of a monitoring method is not straightforward as there are no generally applicable guidelines. Our study provides a systematic literature mapping of methods and criteria that have been proposed or used since the year 2000 to evaluate the cost-efficiency of marine monitoring methods. We aimed to investigate these methods but discovered that examples of actual cost-efficiency assessments in literature were rare, contradicting the prevalent use of the term “cost-efficiency.” We identified five different ways to compare the cost-efficiency of a marine monitoring method: (1) the cost–benefit ratio, (2) comparative studies based on an experiment, (3) comparative studies based on a literature review, (4) comparisons with other methods based on literature, and (5) subjective comparisons with other methods based on experience or intuition. Because of the observed high frequency of insufficient cost–benefit assessments, we strongly advise that more attention is paid to the coverage of both cost and efficiency parameters when evaluating the actual cost-efficiency of novel methods. Our results emphasize the need to improve the reliability and comparability of cost-efficiency assessments. We provide guidelines for future initiatives to develop a cost-efficiency assessment framework and suggestions for more unified cost-efficiency criteria.

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